{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Setting specifications"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "global graph_opts ///\n",
    "\ttitle(, justification(left) color(black) span pos(11)) ///\n",
    "\tgraphregion(color(white) lc(white) lw(med) la(center)) /// <- remove la(center) for Stata < 15\n",
    "\tylab(,angle(0) nogrid) xtit(,placement(left) justification(left)) ///\n",
    "\tyscale(noline) xscale(noline) legend(region(lc(none) fc(none)))\n",
    "\n",
    "local opts lw(thin) lc(white) la(center)\n",
    "\n",
    "label def case 1 \"Case 1\" 2 \"Case 2\" 3 \"Case 3\" 4 \"Case 4\" , modify"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Running ado.file\n",
    "``weightab`` produces xlsx sheets and/or bar graphs with weighted cross-group comparisons."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "qui do \"https://raw.githubusercontent.com/worldbank/Stata-IE-Visual-Library/develop/Library/Bar%20plots/Side%20by%20side%20horizontal%20bar%20plot%20(weightab)/weightab.ado\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Uploading data (.dta) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "use \"https://github.com/worldbank/Stata-IE-Visual-Library/raw/develop/Library/Bar%20plots/Side%20by%20side%20horizontal%20bar%20plot%20(weightab)/data.dta\", clear"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Creating the graph1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "(note:  named style med not found in class linewidth, default attributes used)\n",
      "(note:  linewidth not found in scheme, default attributes used)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "weightab ///\n",
    "\tcorrect treat_cxr re_3 re_4 treat_refer t_12 ///\n",
    "\tmed_any med_l_any_1 med_l_any_2 med_l_any_3  med_k_any_9   ///\n",
    "\tif city == 2 ///\n",
    "\t[pweight = weight_city] ///\n",
    "\t, $graph_opts barlab barlook(1 `opts' fi(100)) title(\"Patna\") over(case) graph legend(off) xlab(${pct})\n",
    "\n",
    "qui graph save \"Fig_1_1.gph\" , replace"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Creating the graph2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "(note:  named style med not found in class linewidth, default attributes used)\n",
      "(note:  linewidth not found in scheme, default attributes used)\n",
      "\n",
      "(file Fig_1_2.gph saved)\n"
     ]
    }
   ],
   "source": [
    "weightab ///\n",
    "\tcorrect treat_cxr re_3 re_4 treat_refer t_12 ///\n",
    "\tmed_any med_l_any_1 med_l_any_2 med_l_any_3  med_k_any_9  ///\n",
    "\tif city == 3 ///\n",
    "\t[pweight = weight_city] ///\n",
    "\t, $graph_opts barlab barlook(1 `opts'  fi(100)) title(\"Mumbai\") over(case) graph legend(pos(5) ring(0) c(1) symxsize(small) symysize(small)) xlab(${pct})\n",
    "\n",
    "qui graph save \"Fig_1_2.gph\" , replace"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6. Combining the graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(note:  named style med not found in class linewidth, default attributes used)\n",
      "(note:  linewidth not found in scheme, default attributes used)\n",
      "(note:  named style med not found in class linewidth, default attributes used)\n",
      "(note:  linewidth not found in scheme, default attributes used)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "This front-end cannot display the desired image type."
      ]
     },
     "metadata": {
      "image/png": {
       "height": 343,
       "width": 600
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "graph combine ///\n",
    "\t\"Fig_1_1.gph\" ///\n",
    "\t\"Fig_1_2.gph\" ///\n",
    "\t, $comb_opts xsize(7) r(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7. Exporting the graph "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "qui graph export \"figure.png\" , replace width(2000)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Stata",
   "language": "stata",
   "name": "stata"
  },
  "language_info": {
   "file_extension": ".do",
   "mimetype": "text/x-stata",
   "name": "stata"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
